MervinPraison
diff --git a/‎src/praisonai/praisonai/cli/app.py‎
Lines changed: 54 additions & 4 deletions b/‎src/praisonai/praisonai/cli/app.py‎
Lines changed: 54 additions & 4 deletions
diff --git a/‎src/praisonai/praisonai/cli/commands/__init__.py‎
Lines changed: 4 additions & 0 deletions b/‎src/praisonai/praisonai/cli/commands/__init__.py‎
Lines changed: 4 additions & 0 deletions
diff --git a/‎src/praisonai/praisonai/cli/commands/langextract.py‎
Lines changed: 106 additions & 0 deletions b/‎src/praisonai/praisonai/cli/commands/langextract.py‎
Lines changed: 106 additions & 0 deletions
diff --git a/‎src/praisonai/praisonai/observability/__init__.py‎
Lines changed: 7 additions & 0 deletions b/‎src/praisonai/praisonai/observability/__init__.py‎
Lines changed: 7 additions & 0 deletions
@@ -35,6 +35,48 @@ def _setup_langfuse_observability(*, verbose: bool = False) -> None:
             typer.echo(f"Warning: failed to initialize Langfuse observability: {e}", err=True)
 
 
+def _setup_langextract_observability(*, verbose: bool = False) -> None:
+    """Set up Langextract observability by wiring TraceSink to action emitter."""
+    try:
+        import importlib.util
+        
+        # Explicitly check if langextract is available before attempting to use it
+        if importlib.util.find_spec('langextract') is None:
+            if verbose:
+                typer.echo("Warning: langextract is not installed. Install with: pip install 'praisonai[langextract]'", err=True)
+            return
+        
+        from praisonai.observability.langextract import LangextractSink, LangextractSinkConfig
+        from praisonaiagents.trace.protocol import TraceEmitter, set_default_emitter
+        import os
+        import atexit
+        
+        # Build LangextractSinkConfig from env vars
+        config = LangextractSinkConfig(
+            output_path=os.getenv("PRAISONAI_LANGEXTRACT_OUTPUT", "praisonai-trace.html"),
+            auto_open=os.getenv("PRAISONAI_LANGEXTRACT_AUTO_OPEN", "false").lower() == "true",
+        )
+        
+        # Create LangextractSink
+        sink = LangextractSink(config=config)
+        
+        # Ensure sink is closed on exit to write the trace file
+        atexit.register(sink.close)
+        
+        # Set up action-level trace emitter
+        emitter = TraceEmitter(sink=sink, enabled=True)
+        set_default_emitter(emitter)
+        
+    except ImportError:
+        # Gracefully degrade if langextract not installed
+        if verbose:
+            typer.echo("Warning: langextract is not installed. Install with: pip install 'praisonai[langextract]'", err=True)
+    except Exception as e:
+        # Avoid breaking CLI if observability setup fails
+        if verbose:
+            typer.echo(f"Warning: failed to initialize langextract observability: {e}", err=True)
+
+
 class OutputFormat(str, Enum):
     """Output format options."""
     text = "text"
@@ -125,7 +167,7 @@ def main_callback(
         None,
         "--observe",
         "-O",
-        help="Enable observability (langfuse, langsmith, etc.)",
+        help="Enable observability (langfuse, langextract)",
         envvar="PRAISONAI_OBSERVE",
     ),
 ):
@@ -148,9 +190,15 @@ def main_callback(
 
     # Validate and set up observability if requested
     if observe:
-        if observe != "langfuse":
-            raise typer.BadParameter(f"Unsupported observe provider: {observe}")
-        _setup_langfuse_observability(verbose=verbose)
+        if observe == "langfuse":
+            _setup_langfuse_observability(verbose=verbose)
+        elif observe == "langextract":
+            _setup_langextract_observability(verbose=verbose)
+        else:
+            raise typer.BadParameter(
+                f"Unsupported observe provider: {observe}. "
+                "Choose one of: langfuse, langextract."
+            )
 
     # Determine output mode
     if state.quiet:
@@ -278,6 +326,7 @@ def register_commands():
     from .commands.flow import app as flow_app
     from .commands.unified import app as unified_app
     from .commands.langfuse import app as langfuse_app
+    from .commands.langextract import app as langextract_app
     from .commands.port import app as port_app
     from .commands.managed import app as managed_app
     from .commands.up import app as up_app
@@ -465,6 +514,7 @@ def app_cmd(
     app.add_typer(flow_app, name="flow", help="Visual workflow builder (Langflow)")
     app.add_typer(unified_app, name="dashboard", help="🌟 Unified Dashboard (Flow + Claw + UI)")
     app.add_typer(langfuse_app, name="langfuse", help="🔍 Langfuse observability platform")
+    app.add_typer(langextract_app, name="langextract", help="🧠 Langextract visual trace layer")
     app.add_typer(port_app, name="port", help="🔌 Manage port usage and resolve conflicts")
     app.add_typer(up_app, name="up", help="🚀 Start unified PraisonAI stack (Langfuse + Langflow)")
 
 
@@ -27,6 +27,7 @@
     'examples_app',
     'replay_app',
     'github_app',
+    'langextract_app',
 ]
 
 
@@ -92,4 +93,7 @@ def __getattr__(name: str):
     elif name == 'github_app':
         from .github import app as github_app
         return github_app
+    elif name == 'langextract_app':
+        from .langextract import app as langextract_app
+        return langextract_app
     raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
@@ -0,0 +1,106 @@
+"""
+PraisonAI Langextract Commands.
+
+CLI commands for rendering PraisonAI traces with langextract:
+- `praisonai langextract view` - render existing JSONL to HTML
+- `praisonai langextract render` - run workflow with langextract observability
+"""
+
+import typer
+import webbrowser
+from pathlib import Path
+from typing import Optional
+
+app = typer.Typer(name="langextract", help="Render PraisonAI traces with langextract.")
+
+
+@app.command(name="view")
+def view(
+    jsonl_path: Path = typer.Argument(..., help="Path to annotated-documents JSONL"),
+    output_html: Path = typer.Option("trace.html", "--output", "-o", help="Output HTML file path"),
+    no_open: bool = typer.Option(False, "--no-open", help="Don't open HTML in browser"),
+):
+    """Render an existing annotated-documents JSONL to an interactive HTML."""
+    try:
+        import langextract as lx  # type: ignore
+    except ImportError:
+        typer.echo("Error: langextract is not installed. Install with: pip install 'praisonai[langextract]'", err=True)
+        raise typer.Exit(1)
+
+    if not jsonl_path.exists():
+        typer.echo(f"Error: JSONL file not found: {jsonl_path}", err=True)
+        raise typer.Exit(1)
+
+    try:
+        html = lx.visualize(str(jsonl_path))
+        html_text = html.data if hasattr(html, "data") else html
+        output_html.write_text(html_text, encoding="utf-8")
+        typer.echo(f"✅ Wrote {output_html}")
+        
+        if not no_open:
+            webbrowser.open(f"file://{output_html.resolve()}")
+    except Exception as e:
+        typer.echo(f"Error: Failed to render HTML: {e}", err=True)
+        raise typer.Exit(1)
+
+
+@app.command(name="render")
+def render(
+    yaml_path: Path = typer.Argument(..., help="PraisonAI YAML workflow"),
+    output_html: Path = typer.Option("workflow.html", "--output", "-o", help="Output HTML file path"),
+    no_open: bool = typer.Option(False, "--no-open", help="Don't open HTML in browser"),
+    api_url: Optional[str] = typer.Option(None, "--api-url", help="API URL (if using remote API)"),
+):
+    """Run a workflow end-to-end with LangextractSink attached, then open the HTML."""
+    try:
+        import langextract  # noqa: F401 — probe optional dep early for clear error
+        from praisonai.observability import LangextractSink, LangextractSinkConfig
+        from praisonaiagents.trace.protocol import TraceEmitter, set_default_emitter
+        from praisonai import PraisonAI
+    except ImportError as e:
+        typer.echo(
+            f"Error: Missing dependencies: {e}. "
+            "Install langextract with: pip install 'praisonai[langextract]'",
+            err=True,
+        )
+        raise typer.Exit(1) from e
+
+    if not yaml_path.exists():
+        typer.echo(f"Error: YAML file not found: {yaml_path}", err=True)
+        raise typer.Exit(1)
+
+    # Set up langextract observability
+    config = LangextractSinkConfig(
+        output_path=str(output_html),
+        auto_open=not no_open,
+    )
+    sink = LangextractSink(config=config)
+    
+    # Set up trace emitter for the duration of the run
+    emitter = TraceEmitter(sink=sink, enabled=True)
+    set_default_emitter(emitter)
+    
+    try:
+        # Run the workflow
+        praison = PraisonAI(agent_file=str(yaml_path))
+        if api_url:
+            praison.api_url = api_url.rstrip("/")
+        
+        result = praison.main()
+        typer.echo(result)
+        
+    except Exception as e:
+        typer.echo(f"Error: Workflow failed: {e}", err=True)
+        raise typer.Exit(1) from e
+    finally:
+        # Ensure sink is closed even if workflow fails
+        sink.close()
+
+    if output_html.exists():
+        typer.echo(f"✅ Trace rendered: {output_html}")
+    else:
+        typer.echo(
+            f"Error: Trace was not rendered to {output_html} (see logs for details)",
+            err=True,
+        )
+        raise typer.Exit(1)
@@ -9,6 +9,7 @@
 
 if TYPE_CHECKING:
     from .langfuse import LangfuseSink, LangfuseSinkConfig
+    from .langextract import LangextractSink, LangextractSinkConfig
 
 __all__ = []
 
@@ -20,5 +21,11 @@ def __getattr__(name: str):
     elif name == "LangfuseSinkConfig":
         from .langfuse import LangfuseSinkConfig
         return LangfuseSinkConfig
+    elif name == "LangextractSink":
+        from .langextract import LangextractSink
+        return LangextractSink
+    elif name == "LangextractSinkConfig":
+        from .langextract import LangextractSinkConfig
+        return LangextractSinkConfig
     else:
         raise AttributeError(f"module '{__name__}' has no attribute '{name}'")